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DBMS > IRONdb vs. Neo4j vs. PlanetScale vs. RocksDB

System Properties Comparison IRONdb vs. Neo4j vs. PlanetScale vs. RocksDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonNeo4j  Xexclude from comparisonPlanetScale  Xexclude from comparisonRocksDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsScalable, distributed, serverless MySQL database platform built on top of VitessEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelTime Series DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitewww.circonus.com/solutions/time-series-database/neo4j.complanetscale.comrocksdb.org
Technical documentationdocs.circonus.com/irondb/category/getting-startedneo4j.com/­docsplanetscale.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperCirconus LLC.Neo4j, Inc.PlanetScaleFacebook, Inc.
Initial release2017200720202013
Current releaseV0.10.20, January 20185.20, May 20249.2.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC and C++Java, ScalaGoC++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Linux
Data schemeschema-freeschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyesno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infowith proprietary extensionsno
APIs and other access methodsHTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
MySQL protocol
ODBC
C++ API
Java API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luayes infoUser defined Procedures and Functionsyes infoproprietary syntaxno
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyes using Neo4j FabricShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
IRONdbNeo4jPlanetScaleRocksDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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